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Study On Information Retrieval Based On The Interest Model Of User

Posted on:2010-12-18Degree:MasterType:Thesis
Country:ChinaCandidate:Y F GuFull Text:PDF
GTID:2178360275496052Subject:Computer application technology
Abstract/Summary:PDF Full Text Request
With the rapid development and popularization of Internet,network has become the main channel for dissemination of information,persons can get all kinds of information from the network easily.However,the existing information retrieval systems almost do not take the users' interest into consideration,and only do a passive,rigid search.To different users,the same keywords get the same searching results.And the thousands of results are ragged,which greatly reduce the efficiency of retrieval.Therefore,considering the users' interest,building the users' interest model,doing a targeted information retrieval,becomes an important topic. In this paper,for the limitations of existing retrieval system and the users' need,with some key technologies of retrieval,we carry out the research of information retrieval based on the users' interest model.The main research contents of this article are as follows:(1) study the information retrieval technologies comprehensively,focus on the key technologies and the core problem of information retrieval technology based on the users' interest model.(2) do full study on the users' interest model,discuss the key technologies of expression,modeling method of the users' model,propose a management method of users' model,and generally update the users' model through a variety of ways.(3) based on a fully studying and learning the traditional information retrieval techniques, build an information retrieval model based on the users' interest,and do a personalized implementation based on the users' interest model.(4) design some related experiments,do experiments of the algorithm proposed in this paper and analyze the results in order to verify its effectiveness.In a word,in this paper,we propose a new information retrieval model based on the users' interest model,and provide a reference to the study and implementation of technologies of the personalized information retrieval.
Keywords/Search Tags:Information Retrieval, Users' Model, Feature Extraction, Machine Learning
PDF Full Text Request
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